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auto-feature-extraction

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0.0.1 auto_feature_extraction-0.0.1-py3-none-any.whl

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Project: auto-feature-extraction
Version: 0.0.1
Filename: auto_feature_extraction-0.0.1-py3-none-any.whl
Download: [link]
Size: 12557
MD5: 44f6ad2d0794355147cf0bce8c818294
SHA256: 634b5f07df219a5ce0f5d63813b00b8fa29c0e00e8a4b5f2e13c9de315a53649
Uploaded: 2021-04-04 00:46:56 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: auto-feature-extraction
Version: 0.0.1
Summary: "Automatic Feature Extraction in Images and Texts using Transfer Learning"
Author: Fernando M Wittmann
Author-Email: fernando.wittmann[at]gmail.com
Home-Page: https://github.com/wittmannf/auto_feature_extraction/tree/{branch}/
License: Apache Software License 2.0
Keywords: deep learning,transfer learning,feature extraction,bottleneck features
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: tensorflow (>=1.14.0)
Requires-Dist: torchvision (>=0.2.2)
Requires-Dist: requests (>=2.23.0)
Requires-Dist: pandas (>=1.0.3)
Requires-Dist: matplotlib (>=3.1.3)
Requires-Dist: Pillow (>=8.2.0)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: scikit-learn (>=0.23.2)
Requires-Dist: seaborn (>=0.10.0)
Description-Content-Type: text/markdown
[Description omitted; length: 348 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
auto_feature_extraction/__init__.py sha256=sXLh7g3KC4QCFxcZGBTpG2scR7hmmBsMjq6LqRptkRg 22
auto_feature_extraction/_nbdev.py sha256=oy0hGJT-KUYucLQSEo9MUU51OWPO-S3EVP1NZJC-nTM 1020
auto_feature_extraction/auto_feature_extraction.py sha256=ayTDt-K-oNxu58Q1diKQJ2guCz9hhO4XRIMq9YTaNDA 6297
feature_extraction/__init__.py sha256=sXLh7g3KC4QCFxcZGBTpG2scR7hmmBsMjq6LqRptkRg 22
feature_extraction/_nbdev.py sha256=Mkakb0_NuNKDOXkHY97aUt7s0mGjE1PM6FcnKccbhKs 950
feature_extraction/feature_extraction.py sha256=3ynpCYkVvMzS6MRjy6duoUmMMrOFWHPbE1zXIhUzDO0 6292
auto_feature_extraction-0.0.1.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
auto_feature_extraction-0.0.1.dist-info/METADATA sha256=4GRRoCFXvSp0x1B_EFxJqZst0zM3JzHX8JHS3u8ftAM 1534
auto_feature_extraction-0.0.1.dist-info/WHEEL sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY 92
auto_feature_extraction-0.0.1.dist-info/entry_points.txt sha256=eqGnTHtEVMYwfXVk1Z9MhC8O2N8wuqAbr0lisLmrkxs 20
auto_feature_extraction-0.0.1.dist-info/top_level.txt sha256=KwYzE0zBfADL0GiEwjnnxme0x6HKpmAG_jlSEk08A4k 43
auto_feature_extraction-0.0.1.dist-info/RECORD — —

top_level.txt

auto_feature_extraction
feature_extraction

entry_points.txt

[empty]